巴西亚马逊地区树叶和大气二氧化碳中的 LBA-ECO CD-02 碳和氮同位素

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此星光明 发表于 2025/05/14 19:02:49 2025/05/14
【摘要】 ​LBA-ECO CD-02 C and N Isotopes in Leaves and Atmospheric CO2, Amazonas, Brazil简介本数据集报告了巴西亚马逊州马瑙斯附近亚马逊国家科学研究所 (INPA) ZF2 保护区 (34 公里) 原始森林叶片组织和大气二氧化碳 (CO2) 的 13C/12C 变化结果、叶片组织的 15N/14N 比值以及沿地形梯度的叶片碳...

LBA-ECO CD-02 C and N Isotopes in Leaves and Atmospheric CO2, Amazonas, Brazil

简介

本数据集报告了巴西亚马逊州马瑙斯附近亚马逊国家科学研究所 (INPA) ZF2 保护区 (34 公里) 原始森林叶片组织和大气二氧化碳 (CO2) 的 13C/12C 变化结果、叶片组织的 15N/14N 比值以及沿地形梯度的叶片碳氮浓度。2004 年和 2006 年旱季,研究人员在冠层不同高度采集了叶片样本,并在该梯度沿线三个位置的不同高度采集了大气空气瓶样本。此外,数据集还包含来自高原 KM34 塔的同步气象、大气 CO2 和 CO2 通量测量数据。本数据集包含 3 个逗号分隔的数据文件。


摘要

Data are presented in three comma-delimited ASCII files:

File #1: CD02_Gas_Samples_13C_2004_2006.csv

File #2: CD02_Foliar_13C_15N_2004_2006.csv

File #3: CD02_Met_and_flux_data_2004_2006.csv


File #1: CD02_Gas_Samples_13C_2004_2006.csv

Column Heading Units/format Description
1 Year YYYY Year in which samples were collected: 2004 or 2006
2 Month Month in which samples were collected: August = 8 or October = 10
3 Day Day of the month in which samples were collected
4 Time HH:MM Start of sample collection in local time. Local time is GMT -4
5 Flask Flask identification number for laboratory purposes
6 Position Location within the landscape: Valley, Slope, Plateau, and Campinarana
7 Sample_type Samples were collected in flasks and are either Atmospheric gas samples or Soil respiration samples collected from a 40 L chamber placed on the soil surface
8 Height m Height in meters above the ground at which the sample was collected for the atmospheric samples
9 conc_CO2 ppm Concentration of carbon dioxide in the flask samples in parts per million (ppm)
10 inv_conc_CO2 ppm-1 Inverse concentration of carbon dioxide in the sample calculated as 1/column 9
11 delta_13C_R1 parts per mil Isotopic ratio of 13C/12C in carbon dioxide referenced to PDB, measured on a continuous flow  isotope-ratio mass spectrometer (Finigan Delta Plus) at CENA
12 delta_13C_R2 parts per mil 13C/12C ratio measured in second aliquot from the same sample where available
13 delta_13C_R3 parts per mil 13C/12C ratio measured in third aliquot from the same sample where available
14 delta_13C_Avg parts per mil Mean isotopic ratio of 13C/12C in carbon dioxide based on 1, 2, or 3 measurements
Missing data are represented as -9999


File #2: CD02_Foliar_13C_15N_2004_2006.csv

Column Heading Units/format Description
1 Year YYYY Year in which samples were collected: 2004 or 2006
2 Month Month in which samples were collected: August = 8 or October = 10
3 Day Day of the month in which samples were collected
4 Location Topographic location of sampling point: Valley, Slope, Plateau, and Campinarana or not reported. In 2006 Campinarana was added to the list as a forest type that only occurs at lower slope and valley locations.
5 Height m Height of sampling location in meters above ground level or not recorded
6 Sample_id Internal sample id
7 Sample_type Type of material sampled: leaves with mature and young leaves distinguished in 2006 or litter
8 Canopy_position Location within the canopy based on sample height: Canopy, Understory, Soil, or not identified
9 Species Species identification where noted: In 2004 species were identified only with local name where possible in 2006 species were identified with scientific names
10 Description Notations from original field notebooks
11 delta_15N per mil Isotopic ratio of 15N/14N in the leaf sample relative to atmospheric N, measured on a continuous flow isotope-ratio mass spectrometer (Finigan Delta Plus) at CENA
12 delta_13C per mil Isotopic ratio of 13C/12C in the leaf or litter sample referenced to PDB, measured on a continuous flow isotope-ratio mass spectrometer (Finigan Delta Plus) at CENA
13 conc_C percent Concentration of carbon in the leaf or litter sample measured by dry combustion and reported in percent by dry weight
14 conc_N percent Concentration of nitrogen in the leaf or litter sample measured by dry combustion and reported in percent by dry weight
15 C_to_N Mass based ratio of carbon to nitrogen in the leaf or litter sample calculated by dividing column 13 by column 14
16 Notes Comments from the field notebooks; no comment or missing comment = none
Missing data are represented as -9999


File #3: CD02_Met_and_flux_data_2004_2006.csv

Column Heading Units/format Description
1 Year YYYY Year in which data were collected: 2004 or 2006
2 DOY Day of the year (DOY) on which data were collected.  For 2004, data were collected from day 195 = July 13 thru  day 218= August 5. For 2006, data were collected from day 260=September 17 thru day 290=October 17
3 Time Sampling time in decimal hours. Time given is the end of the 30 minute sampling period
4 Temp_Air degrees C Air temperature in degrees Celsius
5 RH percent Relative humidity in percent
6 E_act kPa Actual water vapor pressure reported in kilopascals
7 E_sat kPa Saturated water vapor pressure in kilopascals
8 VPD kPa Vapor pressure deficit reported in kilopascals
9 F_CO2 umol/m2/s Carbon dioxide flux measured at 53 m height
10 CO2_conc ppm Atmospheric carbon dioxide concentration measured at 53 meters above ground level
11 u_star m/s Friction velocity measured at 53 meters above ground level in meters per second
Missing data are represented by -9999
All data were measured at the top of the KM34 tower at 53 meters above ground level. The tower is located on the plateau.
All data are averages from a 30 minute sampling period: For the meteorological data each sampling period included 60 measurements (scan time interval 30 seconds); for the flux data each sampling period includes 18,000 samples (scan time interval 0.1 seconds)


Site boundaries: (All latitude and longitude given in decimal degrees)

Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Amazonas (Manaus) - ZF2 km 34 (Amazonas (Manaus)) -60.20910 -60.0000 -2.50000 -2.60900 South-American Datum, 1969 (SAD-69)

代码

!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify
 
import pandas as pd
import leafmap
 
url = "https://github.com/opengeos/NASA-Earth-Data"
df = pd.read_csv(url, sep="\t")
df
 
leafmap.nasa_data_login()
 
 
results, gdf = leafmap.nasa_data_search(
    short_name="CD02_C_N_Isotopes_1097",
    cloud_hosted=True,
    bounding_box=(-60.21, -2.61, -60.0, -2.5),
    temporal=("2004-08-02", "2006-10-21"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")


引用

de Araujo, A.C., J.P.H.B. Ometto, A.J. Dolman, B. Kruijt, M.J. Waterloo and J.R. Ehleringer. 2012. LBA-ECO CD-02 C and N Isotopes in Leaves and Atmospheric CO2, Amazonas, Brazil. Data set. Available on-line [http://daac.ornl.gov ] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.




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